| The equipment and system of large power generation enterprise is very complex,and it is very important.These parameters change frequently,the coupling between parameters is relatively strong,change from the single parameter is difficult to distinguish whether the abnormal state of the first time,and the analysis tool of many third party requires a strong professional,this is undoubtedly the unit stable operation and equipment status and performance analysis work has brought great difficult.With the rapid development and wide application of the real-time database technology,the analysis and mining technology for the massive real-time data is constantly developing,and is gradually recognized and accepted by all of us.At the same time,because of the rapid development of computer technology,the calculation speed of computer data has been a qualitative leap,so for the massive real-time data analysis and data mining has become a hot technology in more economic and safe operation of equipment in the research and application of flow type enterprise.This paper introduces the related technology of massive real-time data mining use,build power plant key equipment remote early warning analysis platform in China Southern Power Grid Guangdong EPRI remote center,for power plant key equipment safety assessment and early warning.Through the analysis and modeling of power equipment for mining massive real-time data,early warning to achieve comprehensive quantitative evaluation of the safety of power plant equipment online and potential failure,facilitates the management of EPRI related professional first time to understand the running status of equipment,provide effective technical service in a timely manner.In this paper,in addition to the introduction of fundamental technology,also on remote communication,data acquisition and storage are described,and the technology and method are verified through the application case of remote diagnosis center of Guangdong electric power research institute. |
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